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111
Happy birthday to me!!!
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Reality123b
posted
an
update
about 13 hours ago
Post
2401
👉 What happened in AI in 2025? 👈
We prepared the 2025 version of the HF AI Timeline Grid, highlighting open vs API-based model releases, and allowing you to browse and filter by access, modality, and release type!
Play with it here:
2025-ai-timeline/2025-ai-timeline
Here's my personal quarterly TL;DR:
1️⃣ Q1 — Learning to Reason
Deepseek not only releases a top-notch reasoning model, but shows how to train them and compete with closed frontier models. OpenAI debuts Deep Research.
Significant milestones: DeepSeek R1 & R1-Zero, Qwen 2.5 VL, OpenAI Deep Research, Gemini 2.5 Pro (experimental)
2️⃣ Q2 — Multimodality and Coding
More LLMs embrace multimodality by default, and there's a surge in coding agents. Strong vision, audio, and generative models emerge.
Significant milestones: Llama 4, Qwen 3, Imagen 4, OpenAI Codex, Google Jules, Claude 4
3️⃣ Q3 — "Gold" rush, OpenAI opens up, the community goes bananas
Flagship models get gold in Math olympiads and hard benchmarks. OpenAI releases strong open source models and Google releases the much anticipated nano-banana for image generation and editing. Agentic workflows become commonplace.
Significant milestones: Gemini and OpenAI IMO Gold, gpt-oss, Gemini 2.5 Flash Image, Grok 4, Claude Sonnet 4.5
4️⃣ Q4 — Mistral returns, leaderboard hill-climbing
Mistral is back with updated model families. All labs release impressive models to wrap up the year!
Significant milestones: Claude Opus 4.5, DeepSeek Math V2, FLUX 2, GPT 5.1, Kimi K2 Thinking, Nano Banana Pro, GLM 4.7, Gemini 3, Mistral 3, MiniMax M2.1 🤯
Credits
🙏 NHLOCAL for the source data https://github.com/NHLOCAL/AiTimeline
🫡 @reach-vb for the original idea, design and recipe
🙌 @ariG23498 and yours truly for compiling and verifying the 2025 edition
🥳 Here's to 2026, wishing it becomes the best year ever for open releases and on-device-first use-cases! 🥂
We prepared the 2025 version of the HF AI Timeline Grid, highlighting open vs API-based model releases, and allowing you to browse and filter by access, modality, and release type!
Play with it here:
2025-ai-timeline/2025-ai-timeline
Here's my personal quarterly TL;DR:
1️⃣ Q1 — Learning to Reason
Deepseek not only releases a top-notch reasoning model, but shows how to train them and compete with closed frontier models. OpenAI debuts Deep Research.
Significant milestones: DeepSeek R1 & R1-Zero, Qwen 2.5 VL, OpenAI Deep Research, Gemini 2.5 Pro (experimental)
2️⃣ Q2 — Multimodality and Coding
More LLMs embrace multimodality by default, and there's a surge in coding agents. Strong vision, audio, and generative models emerge.
Significant milestones: Llama 4, Qwen 3, Imagen 4, OpenAI Codex, Google Jules, Claude 4
3️⃣ Q3 — "Gold" rush, OpenAI opens up, the community goes bananas
Flagship models get gold in Math olympiads and hard benchmarks. OpenAI releases strong open source models and Google releases the much anticipated nano-banana for image generation and editing. Agentic workflows become commonplace.
Significant milestones: Gemini and OpenAI IMO Gold, gpt-oss, Gemini 2.5 Flash Image, Grok 4, Claude Sonnet 4.5
4️⃣ Q4 — Mistral returns, leaderboard hill-climbing
Mistral is back with updated model families. All labs release impressive models to wrap up the year!
Significant milestones: Claude Opus 4.5, DeepSeek Math V2, FLUX 2, GPT 5.1, Kimi K2 Thinking, Nano Banana Pro, GLM 4.7, Gemini 3, Mistral 3, MiniMax M2.1 🤯
Credits
🙏 NHLOCAL for the source data https://github.com/NHLOCAL/AiTimeline
🫡 @reach-vb for the original idea, design and recipe
🙌 @ariG23498 and yours truly for compiling and verifying the 2025 edition
🥳 Here's to 2026, wishing it becomes the best year ever for open releases and on-device-first use-cases! 🥂
- 1 reply
prithivMLmods
posted
an
update
4 days ago
Post
1988
Dropping Image Edit (Object Manipulator): Add or remove specified objects/designs, with flexible support for both single-image and multi-image modes.
🤗 Demo: prithivMLmods/Qwen-Image-Edit-Object-Manipulator
Qwen-Image-Edit-2511-Object-Remover is an adapter (LoRA) developed for Qwen’s Qwen-Image-Edit-2511 image-to-image model. It is specifically designed for precise object removal from images.
⭐ Model: prithivMLmods/Qwen-Image-Edit-2511-Object-Remover
Qwen-Image-Edit-2511-Object-Adder is an adapter (LoRA) developed for Qwen’s Qwen-Image-Edit-2511 image-to-image model. It is specifically designed for precise object addition to images.
⭐ Model: prithivMLmods/Qwen-Image-Edit-2511-Object-Adder
🕹️ Collection: https://huggingface.co/collections/prithivMLmods/qwen-image-edit-object-manipulator
🕹️ github: https://github.com/PRITHIVSAKTHIUR/Qwen-Image-Edit-Object-Manipulator
To learn more, visit the app page or the respective model pages.
🤗 Demo: prithivMLmods/Qwen-Image-Edit-Object-Manipulator
Qwen-Image-Edit-2511-Object-Remover is an adapter (LoRA) developed for Qwen’s Qwen-Image-Edit-2511 image-to-image model. It is specifically designed for precise object removal from images.
⭐ Model: prithivMLmods/Qwen-Image-Edit-2511-Object-Remover
Qwen-Image-Edit-2511-Object-Adder is an adapter (LoRA) developed for Qwen’s Qwen-Image-Edit-2511 image-to-image model. It is specifically designed for precise object addition to images.
⭐ Model: prithivMLmods/Qwen-Image-Edit-2511-Object-Adder
🕹️ Collection: https://huggingface.co/collections/prithivMLmods/qwen-image-edit-object-manipulator
🕹️ github: https://github.com/PRITHIVSAKTHIUR/Qwen-Image-Edit-Object-Manipulator
To learn more, visit the app page or the respective model pages.
Reality123b
posted
an
update
7 days ago
Post
147
Thread to talk about the RAM shortage.
Guys I have RAM.
Please don't ban be for this, I know this is not directly related to AI
Guys I have RAM.
Please don't ban be for this, I know this is not directly related to AI
prithivMLmods
posted
an
update
11 days ago
Post
4069
Update: TRELLIS.2 (Text to 3D, Image to 3D) Gradio with Rerun Embedded demo with improved visualization of the 3D model previewer is now available on Hugging Face. Generate assets and view them in the 3D viewer, powered and streamlined with Microsoft’s TRELLIS.2 and Tongyi-MAI’s Z-Image-Turbo models.
🤗 TRELLIS.2 (Demo): prithivMLmods/TRELLIS.2-Text-to-3D
🕹️ GitHub: https://github.com/PRITHIVSAKTHIUR/TRELLIS.2-Text-to-3D-RERUN
🕹️ Collection: https://huggingface.co/collections/prithivMLmods/multimodal-implementations
To know more about it, visit the app page or the respective model page!
🤗 TRELLIS.2 (Demo): prithivMLmods/TRELLIS.2-Text-to-3D
🕹️ GitHub: https://github.com/PRITHIVSAKTHIUR/TRELLIS.2-Text-to-3D-RERUN
🕹️ Collection: https://huggingface.co/collections/prithivMLmods/multimodal-implementations
To know more about it, visit the app page or the respective model page!
prithivMLmods
posted
an
update
12 days ago
Post
4164
Introducing the Qwen-Image-Edit-2511-LoRAs-Fast demo, featuring image property comparison and contrast, built on top of Gradio and the combined Rerun SDK. It supports single and multi-image edits with existing LoRAs that are lazily loaded. (Note: This is still an experimental Space for Qwen-Image-Edit-2511.)
⭐ Space Demo: prithivMLmods/Qwen-Image-Edit-2511-LoRAs-Fast
⭐ GitHub: https://github.com/PRITHIVSAKTHIUR/Qwen-Image-Edit-2511-LoRAs-Fast-Multi-Image-Rerun
⭐ Collection: https://huggingface.co/collections/prithivMLmods/image-generation-apps-collection
To know more about it, visit the app page or the respective model page!
⭐ Space Demo: prithivMLmods/Qwen-Image-Edit-2511-LoRAs-Fast
⭐ GitHub: https://github.com/PRITHIVSAKTHIUR/Qwen-Image-Edit-2511-LoRAs-Fast-Multi-Image-Rerun
⭐ Collection: https://huggingface.co/collections/prithivMLmods/image-generation-apps-collection
To know more about it, visit the app page or the respective model page!
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- 2 replies
prithivMLmods
posted
an
update
19 days ago
Post
3685
Introducing demos for new SOTA models from AI2: SAGE-MM (Smart Any-Horizon Agents for Long-Video Reasoning) and Molmo-2, an open vision-language model that supports multi-image (QA and pointing) and video (QA, pointing, and tracking). The respective demo-related collections are listed below. 🎃🔥
✨ SAGE-MM [Video-Reasoning]: prithivMLmods/SAGE-MM-Video-Reasoning
✨ Molmo2 [Demo]: prithivMLmods/Molmo2-HF-Demo
🎃 GitHub[SAGE-MM]: https://github.com/PRITHIVSAKTHIUR/SAGE-MM-Video-Reasoning
🎃 GitHub[Molmo2]: https://github.com/PRITHIVSAKTHIUR/Molmo2-HF-Demo
🎃 Multimodal Implementations: https://huggingface.co/collections/prithivMLmods/multimodal-implementations
To know more about it, visit the app page or the respective model page!
✨ SAGE-MM [Video-Reasoning]: prithivMLmods/SAGE-MM-Video-Reasoning
✨ Molmo2 [Demo]: prithivMLmods/Molmo2-HF-Demo
🎃 GitHub[SAGE-MM]: https://github.com/PRITHIVSAKTHIUR/SAGE-MM-Video-Reasoning
🎃 GitHub[Molmo2]: https://github.com/PRITHIVSAKTHIUR/Molmo2-HF-Demo
🎃 Multimodal Implementations: https://huggingface.co/collections/prithivMLmods/multimodal-implementations
To know more about it, visit the app page or the respective model page!
- 1 reply
prithivMLmods
posted
an
update
20 days ago
Post
2052
Introducing TRELLIS.2 Text-to-3D. The demo for the TRELLIS.2-4B (Image-to-3D) model is streamlined with the Z-Image Turbo image generation model to enable Text-to-3D functionality. There is no need for input assets, making a small leap forward for ideation. Optionally, it also includes default support for Image-to-3D inference using direct image assets. Find the demo and related collections below... 🤗🔥
✨ TRELLIS.2-Text-to-3D [Demo]: prithivMLmods/TRELLIS.2-Text-to-3D
✨ Multimodal Collection: https://huggingface.co/collections/prithivMLmods/multimodal-implementations
✨ Github: https://github.com/PRITHIVSAKTHIUR/TRELLIS.2-Text-to-3D
To know more about it, visit the app page or the respective model page!
✨ TRELLIS.2-Text-to-3D [Demo]: prithivMLmods/TRELLIS.2-Text-to-3D
✨ Multimodal Collection: https://huggingface.co/collections/prithivMLmods/multimodal-implementations
✨ Github: https://github.com/PRITHIVSAKTHIUR/TRELLIS.2-Text-to-3D
To know more about it, visit the app page or the respective model page!
prithivMLmods
posted
an
update
22 days ago
Post
2015
Demo for Molmo2 on Hugging Face is live now, including Single/Multi-Image VQA, Visual Pointing/Grounding, Video VQA, and Video Point Tracking. Find the demo and related collections below. 🔥🤗
● Molmo2 HF Demo🖥️: prithivMLmods/Molmo2-HF-Demo
● Model Collection: https://huggingface.co/collections/allenai/molmo2
● Related Multimodal Space Collection: https://huggingface.co/collections/prithivMLmods/multimodal-implementations
To know more about it, visit the app page or the respective model page!
● Molmo2 HF Demo🖥️: prithivMLmods/Molmo2-HF-Demo
● Model Collection: https://huggingface.co/collections/allenai/molmo2
● Related Multimodal Space Collection: https://huggingface.co/collections/prithivMLmods/multimodal-implementations
To know more about it, visit the app page or the respective model page!
prithivMLmods
posted
an
update
23 days ago
Post
5544
Introducing the Z Image Turbo LoRA DLC App, a gallery space for plug-and-play Z-Image-Turbo LoRAs. It features a curated collection of impressive LoRAs for generating high-quality images. By default, it runs on the base model. Simply choose a LoRA, type your prompt, and generate images. You can find the app and more details below. 🤗🧪
● Space [Demo]: prithivMLmods/Z-Image-Turbo-LoRA-DLC
● Collection: https://huggingface.co/collections/prithivMLmods/image-generation-apps-collection
● Check the list of Z-Image LoRA's: https://huggingface.co/models?other=base_model:adapter:Tongyi-MAI/Z-Image-Turbo
● Github: https://github.com/PRITHIVSAKTHIUR/Z-Image-Turbo-LoRA-DLC
Other related image gen spaces:-
● FLUX-LoRA-DLC2: prithivMLmods/FLUX-LoRA-DLC2
● FLUX-LoRA-DLC: prithivMLmods/FLUX-LoRA-DLC
● Qwen-Image-LoRA-DLC: prithivMLmods/Qwen-Image-LoRA-DLC
● Qwen-Image-Edit-2509-LoRAs-Fast: prithivMLmods/Qwen-Image-Edit-2509-LoRAs-Fast
● Qwen-Image-Edit-2509-LoRAs-Fast-Fusion: prithivMLmods/Qwen-Image-Edit-2509-LoRAs-Fast-Fusion
& more...
To know more about it, visit the app page or the respective model page!
● Space [Demo]: prithivMLmods/Z-Image-Turbo-LoRA-DLC
● Collection: https://huggingface.co/collections/prithivMLmods/image-generation-apps-collection
● Check the list of Z-Image LoRA's: https://huggingface.co/models?other=base_model:adapter:Tongyi-MAI/Z-Image-Turbo
● Github: https://github.com/PRITHIVSAKTHIUR/Z-Image-Turbo-LoRA-DLC
Other related image gen spaces:-
● FLUX-LoRA-DLC2: prithivMLmods/FLUX-LoRA-DLC2
● FLUX-LoRA-DLC: prithivMLmods/FLUX-LoRA-DLC
● Qwen-Image-LoRA-DLC: prithivMLmods/Qwen-Image-LoRA-DLC
● Qwen-Image-Edit-2509-LoRAs-Fast: prithivMLmods/Qwen-Image-Edit-2509-LoRAs-Fast
● Qwen-Image-Edit-2509-LoRAs-Fast-Fusion: prithivMLmods/Qwen-Image-Edit-2509-LoRAs-Fast-Fusion
& more...
To know more about it, visit the app page or the respective model page!
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- 2 replies
Post
2451
Muon vs MuonClip vs Muon+Adamw
Muon has gone from an experiment to a mainstream optimizer, but does it hold up for fine‑tuning? We ran head‑to‑head tests on Qwen3‑4B (10k+ high‑quality instruction rows) to find out.
Short story: Pure Muon converged fastest at the start, but its gradient‑norm spikes made training unstable. MuonClip (Kimi K2’s clipping) stabilizes long pretraining runs, yet in our small‑scale fine‑tune it underperformed, lower token accuracy and slower convergence. The winner was the hybrid: Muon for 2D layers + AdamW for 1D layers. It delivered the best balance of stability and final performance and even beat vanilla AdamW.
Takeaway: for small-scale fine-tuning, hybrid = practical and reliable.
Next Step: scale to larger models/datasets to see if Muon’s spikes become catastrophic or if clipping wins out.
Full Blog Link: https://huggingface.co/blog/KingNish/optimizer-part1
Muon has gone from an experiment to a mainstream optimizer, but does it hold up for fine‑tuning? We ran head‑to‑head tests on Qwen3‑4B (10k+ high‑quality instruction rows) to find out.
Short story: Pure Muon converged fastest at the start, but its gradient‑norm spikes made training unstable. MuonClip (Kimi K2’s clipping) stabilizes long pretraining runs, yet in our small‑scale fine‑tune it underperformed, lower token accuracy and slower convergence. The winner was the hybrid: Muon for 2D layers + AdamW for 1D layers. It delivered the best balance of stability and final performance and even beat vanilla AdamW.
Takeaway: for small-scale fine-tuning, hybrid = practical and reliable.
Next Step: scale to larger models/datasets to see if Muon’s spikes become catastrophic or if clipping wins out.
Full Blog Link: https://huggingface.co/blog/KingNish/optimizer-part1
Post
2496
I tested Muon vs MuonClip vs Muon+AdamW for fine-tuning LLMs
Just published a blog on that, Read here 👉 https://huggingface.co/blog/KingNish/optimizer-part1
Just published a blog on that, Read here 👉 https://huggingface.co/blog/KingNish/optimizer-part1
- 1 reply
prithivMLmods
posted
an
update
about 1 month ago
Post
2738
Introducing the D.Markdown Experimental Models, Proxima and Epsilon OCR models, built on top of Qwen3-VL and Qwen2.5-VL respectively. Proxima is optimized for Markdown generation and is capable of embedding inline programming code snippets and generating rich nodes such as HTML, XML, JSON, and YAML. Epsilon is optimized for reconstructing complex layouts including tables, forms, and mathematical content. 🌌✨
● proxima-ocr-d.markdown-post3.0.l: prithivMLmods/proxima-ocr-d.markdown-post3.0.l
● epsilon-ocr-d.markdown-post3.0.m: prithivMLmods/epsilon-ocr-d.markdown-post3.0.m
● proxima-ocr-d.markdown-post3.0.l-gguf: prithivMLmods/proxima-ocr-d.markdown-post3.0.l-GGUF
● epsilon-ocr-d.markdown-post3.0.m-gguf: prithivMLmods/epsilon-ocr-d.markdown-post3.0.m-GGUF
● Collection: https://huggingface.co/collections/prithivMLmods/dynamic-markdowns
● Multimodal Apps: https://huggingface.co/collections/prithivMLmods/multimodal-implementations
👉 These models are stage progression models, and currently they may contain artifacts.
To know more about it, visit the app page or the respective model page!
● proxima-ocr-d.markdown-post3.0.l: prithivMLmods/proxima-ocr-d.markdown-post3.0.l
● epsilon-ocr-d.markdown-post3.0.m: prithivMLmods/epsilon-ocr-d.markdown-post3.0.m
● proxima-ocr-d.markdown-post3.0.l-gguf: prithivMLmods/proxima-ocr-d.markdown-post3.0.l-GGUF
● epsilon-ocr-d.markdown-post3.0.m-gguf: prithivMLmods/epsilon-ocr-d.markdown-post3.0.m-GGUF
● Collection: https://huggingface.co/collections/prithivMLmods/dynamic-markdowns
● Multimodal Apps: https://huggingface.co/collections/prithivMLmods/multimodal-implementations
👉 These models are stage progression models, and currently they may contain artifacts.
To know more about it, visit the app page or the respective model page!
prithivMLmods
posted
an
update
about 1 month ago
Post
1135
Try CUA GUI Operator 🖥️ Space, the demo of some interesting multimodal ultra-compact Computer Use Agent (CUA) models in a single app, including Fara-7B, UI-TARS-1.5-7B, and Holo models, to perform GUI localization tasks.
● CUA-GUI-Operator [Demo]: prithivMLmods/CUA-GUI-Operator
● Collection: https://huggingface.co/collections/prithivMLmods/multimodal-implementations
Other related multimodal spaces
● Qwen3-VL: prithivMLmods/Qwen3-VL-HF-Demo
● Multimodal-VLM-v1.0: prithivMLmods/Multimodal-VLM-v1.0
● Vision-to-VibeVoice-en: prithivMLmods/Vision-to-VibeVoice-en
I have planned to add Chrome sandboxes to streamline it and turn it into a browser based CUA multimodal tool, which will be added to the same space soon.
To know more about it, visit the app page or the respective model page!
● CUA-GUI-Operator [Demo]: prithivMLmods/CUA-GUI-Operator
● Collection: https://huggingface.co/collections/prithivMLmods/multimodal-implementations
Other related multimodal spaces
● Qwen3-VL: prithivMLmods/Qwen3-VL-HF-Demo
● Multimodal-VLM-v1.0: prithivMLmods/Multimodal-VLM-v1.0
● Vision-to-VibeVoice-en: prithivMLmods/Vision-to-VibeVoice-en
I have planned to add Chrome sandboxes to streamline it and turn it into a browser based CUA multimodal tool, which will be added to the same space soon.
To know more about it, visit the app page or the respective model page!
- 1 reply
prithivMLmods
posted
an
update
about 1 month ago
Post
3570
One speech model with seven voices, streamlined with multimodal capabilities for vision tasks. Performs vision(image-text) to audio inference with Qwen2.5-VL + VibeVoice-Realtime-0.5B. Vision to VibeVoice (EN) - The demo is live. 🗣️🔥
🤗 Vision-to-VibeVoice-en [Demo]: prithivMLmods/Vision-to-VibeVoice-en
✨ Collection: https://huggingface.co/collections/prithivMLmods/multimodal-implementations
✨ Speech [VibeVoice-Realtime-0.5B]: microsoft/VibeVoice-Realtime-0.5B
✨ Vision [Qwen2.5-VL]: Qwen/Qwen2.5-VL-7B-Instruct
To know more about it, visit the app page or the respective model page!
🤗 Vision-to-VibeVoice-en [Demo]: prithivMLmods/Vision-to-VibeVoice-en
✨ Collection: https://huggingface.co/collections/prithivMLmods/multimodal-implementations
✨ Speech [VibeVoice-Realtime-0.5B]: microsoft/VibeVoice-Realtime-0.5B
✨ Vision [Qwen2.5-VL]: Qwen/Qwen2.5-VL-7B-Instruct
To know more about it, visit the app page or the respective model page!
-
- 6 replies
mrfakename
posted
an
update
about 1 month ago
Post
5959
Excited to share that I've joined the Hugging Face Fellows program! 🤗
Looking forward to contributing to & working more closely with the open-source ecosystem - huge thanks to everyone who's supported me on this journey! 🚀
Looking forward to contributing to & working more closely with the open-source ecosystem - huge thanks to everyone who's supported me on this journey! 🚀
prithivMLmods
posted
an
update
about 1 month ago
Post
3720
Hello everyone,
The
strangerzonehf
[HF] Community / Organization Page, which is maintained by me, has reached the Top 10 Developer Pages ranking at 6th place, contributing 3.4% in the calendar cycle from August 2024 to August 2025. It is also the only South Asia / Indian page in the list. I could not be more proud to be doing things for the community. ❤️🤗
Source: https://www.dataprovenance.org/economies-of-open-intelligence.pdf
It is a pleasure to be a part of it.
Thank you!
@prithivMLmods
The
Source: https://www.dataprovenance.org/economies-of-open-intelligence.pdf
It is a pleasure to be a part of it.
Thank you!
@prithivMLmods
prithivMLmods
posted
an
update
about 1 month ago
Post
10697
Introducing the Super-OCRs Demo, a comparison of state-of-the-art multimodal OCR VLMs, including HunyuanOCR, DeepSeekOCR, Dots, and Nanonets in one space for performing OCR, rendering LaTeX and Markdown, and visual grounding (layout). Find the related Spaces and models below.🤗🔥
✨Super-OCRs[Demo]: prithivMLmods/Super-OCRs-Demo
✨Collection: https://huggingface.co/collections/prithivMLmods/multimodal-implementations
✨GitHub: https://github.com/PRITHIVSAKTHIUR/Super-OCRs-Demo
⭐ Models Used:
✦ HunyuanOCR: tencent/HunyuanOCR
✦ DeepSeek-OCR: (-) deepseek-ai/DeepSeek-OCR (+) prithivMLmods/DeepSeek-OCR-Latest-BF16.I64
✦ Dots.OCR: (-) rednote-hilab/dots.ocr (+) prithivMLmods/Dots.OCR-Latest-BF16
✦ Nanonets-OCR2-3B: nanonets/Nanonets-OCR2-3B
⭐ Some Other Relevant Apps:
✦ Qwen3-VL-HF-Demo: prithivMLmods/Qwen3-VL-HF-Demo
✦ Qwen3-VL-Outpost: prithivMLmods/Qwen3-VL-Outpost
✦ Multimodal-OCR: prithivMLmods/Multimodal-OCR
✦ Multimodal-OCR2: prithivMLmods/Multimodal-OCR2
✦ Multimodal-OCR3: prithivMLmods/Multimodal-OCR3
✦ DeepSeek-OCR-experimental: prithivMLmods/DeepSeek-OCR-experimental
To know more about it, visit the app page or the respective model page!
✨Super-OCRs[Demo]: prithivMLmods/Super-OCRs-Demo
✨Collection: https://huggingface.co/collections/prithivMLmods/multimodal-implementations
✨GitHub: https://github.com/PRITHIVSAKTHIUR/Super-OCRs-Demo
⭐ Models Used:
✦ HunyuanOCR: tencent/HunyuanOCR
✦ DeepSeek-OCR: (-) deepseek-ai/DeepSeek-OCR (+) prithivMLmods/DeepSeek-OCR-Latest-BF16.I64
✦ Dots.OCR: (-) rednote-hilab/dots.ocr (+) prithivMLmods/Dots.OCR-Latest-BF16
✦ Nanonets-OCR2-3B: nanonets/Nanonets-OCR2-3B
⭐ Some Other Relevant Apps:
✦ Qwen3-VL-HF-Demo: prithivMLmods/Qwen3-VL-HF-Demo
✦ Qwen3-VL-Outpost: prithivMLmods/Qwen3-VL-Outpost
✦ Multimodal-OCR: prithivMLmods/Multimodal-OCR
✦ Multimodal-OCR2: prithivMLmods/Multimodal-OCR2
✦ Multimodal-OCR3: prithivMLmods/Multimodal-OCR3
✦ DeepSeek-OCR-experimental: prithivMLmods/DeepSeek-OCR-experimental
To know more about it, visit the app page or the respective model page!
reach-vb
authored
a
paper
about 1 month ago
nroggendorff
posted
an
update
about 1 month ago
Post
2871
I am now being charged for paused and unstarted spaces out of the blue.
I think this is it, folks. o7
The unstarted spaces I can get behind. I would've appreciated a warning email first, but whatever. However, every time I restart the active usage goes up, despite all of my spaces being moved to CPU (free), and being paused.
I think this is it, folks. o7
The unstarted spaces I can get behind. I would've appreciated a warning email first, but whatever. However, every time I restart the active usage goes up, despite all of my spaces being moved to CPU (free), and being paused.
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- 13 replies